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   <div id="projectname">Calico
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   <div id="projectbrief">A visual-inertial calibration library designed for rapid problem construction and debugging.</div>
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<li class="navelem"><a class="el" href="namespaceAprilTags.html">AprilTags</a></li><li class="navelem"><a class="el" href="classAprilTags_1_1TagDetector.html">TagDetector</a></li>  </ul>
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<a href="#pub-methods">Public Member Functions</a> &#124;
<a href="#pub-attribs">Public Attributes</a> &#124;
<a href="classAprilTags_1_1TagDetector-members.html">List of all members</a>  </div>
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<div class="title">AprilTags::TagDetector Class Reference</div>  </div>
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Collaboration diagram for AprilTags::TagDetector:</div>
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<area shape="rect" title=" " alt="" coords="5,199,160,225"/>
<area shape="rect" href="classAprilTags_1_1TagFamily.html" title="Generic class for all tag encoding families." alt="" coords="11,109,154,136"/>
<area shape="rect" href="classAprilTags_1_1TagFamily_1_1TableInitializer.html" title="Initializes the static popCountTable." alt="" coords="11,5,154,47"/>
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Public Member Functions</h2></td></tr>
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&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classAprilTags_1_1TagDetector.html#a480e76e69ab3d59c21155730e789ed77">TagDetector</a> (const <a class="el" href="classAprilTags_1_1TagCodes.html">TagCodes</a> &amp;tagCodes, const size_t blackBorder=2)</td></tr>
<tr class="memdesc:a480e76e69ab3d59c21155730e789ed77"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor. <br /></td></tr>
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<tr class="memitem:a4e6c8de7128871422fe06f5e37d22dba"><td class="memItemLeft" align="right" valign="top">std::vector&lt; <a class="el" href="structAprilTags_1_1TagDetection.html">TagDetection</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classAprilTags_1_1TagDetector.html#a4e6c8de7128871422fe06f5e37d22dba">extractTags</a> (const cv::Mat &amp;image)</td></tr>
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const <a class="el" href="classAprilTags_1_1TagFamily.html">TagFamily</a>&#160;</td><td class="memItemRight" valign="bottom"><b>thisTagFamily</b></td></tr>
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<h2 class="groupheader">Member Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a4e6c8de7128871422fe06f5e37d22dba">&#9670;&nbsp;</a></span>extractTags()</h2>

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          <td class="memname">std::vector&lt; <a class="el" href="structAprilTags_1_1TagDetection.html">TagDetection</a> &gt; AprilTags::TagDetector::extractTags </td>
          <td>(</td>
          <td class="paramtype">const cv::Mat &amp;&#160;</td>
          <td class="paramname"><em>image</em></td><td>)</td>
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<p><a class="el" href="classAprilTags_1_1Gaussian.html">Gaussian</a> smoothing kernel applied to image (0 == no filter).</p>
<p>Used when sampling bits. Filtering is a good idea in cases where A) a cheap camera is introducing artifical sharpening, B) the bayer pattern is creating artifcats, C) the sensor is very noisy and/or has hot/cold pixels. However, filtering makes it harder to decode very small tags. Reasonable values are 0, or [0.8, 1.5].</p>
<p><a class="el" href="classAprilTags_1_1Gaussian.html">Gaussian</a> smoothing kernel applied to image (0 == no filter).</p>
<p>Used when detecting the outline of the box. It is almost always useful to have some filtering, since the loss of small details won't hurt. Recommended value = 0.8. The case where sigma == segsigma has been optimized to avoid a redundant filter operation.</p>

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<hr/>The documentation for this class was generated from the following files:<ul>
<li>calico/third_party/apriltags/apriltags/<a class="el" href="TagDetector_8h_source.html">TagDetector.h</a></li>
<li>calico/third_party/apriltags/src/TagDetector.cc</li>
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